opik-mcp vs langsmith-sdk
Opik MCP server compared with LangSmith tracing SDKs
opik-mcp connects MCP-compatible assistants to an Opik workspace to inspect data and perform selected actions. langsmith-sdk provides Python and JavaScript/TypeScript clients that send application traces to the LangSmith platform; the main difference is assistant-driven workspace access versus application-level tracing.
opik-mcp: Connect AI Assistants to Opik
opik-mcp is a Python MCP server that lets AI coding assistants work with an Opik workspace. Use it to inspect traces, record scores, manage prompts, and explore evaluation data through natural-language workflows.
langsmith-sdk: Trace and Evaluate LLM Applications
LangSmith SDKs let Python and JavaScript/TypeScript applications send traces to the LangSmith platform for debugging, evaluation, and monitoring. They suit teams that want observability for LLM apps without limiting themselves to LangChain integrations.
| opik-mcp | langsmith-sdk | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Stars | 220 | 1.1k |
| Forks | 37 | 312 |
| Last analyzed | Oct 3, 2026 | Oct 13, 2026 |
Key differences
- opik-mcp is a Python MCP server, while langsmith-sdk provides Python and JavaScript/TypeScript SDKs.
- opik-mcp supports reading and managing Opik workspace data, including traces, prompts, datasets, experiments, and Diagnostics issues; langsmith-sdk focuses on tracing application runs for debugging, evaluation, and monitoring.
- opik-mcp can run locally or connect through Opik Cloud's hosted MCP endpoint; langsmith-sdk requires access to the LangSmith platform and an API key.
- opik-mcp is licensed under Apache-2.0, while langsmith-sdk is licensed under MIT.
- The listed repository counts are 220 stars and 37 forks for opik-mcp, compared with 1.1k stars and 307 forks for langsmith-sdk.
Choose opik-mcp if you…
- need an MCP-compatible assistant to inspect or manage data in an Opik workspace.
- want to record scores or comments, save prompt versions, or manage datasets and experiments through assistant workflows.
- prefer a local Python server option for a self-hosted or open-source Opik deployment.
Choose langsmith-sdk if you…
- need Python or JavaScript/TypeScript clients to trace runs from an LLM application.
- want to add tracing to OpenAI clients or LangChain-based applications.
- need application traces for debugging, evaluation, or monitoring through LangSmith.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.